An analytical framework for the study of geographical places in the scientific literature

Authors

DOI:

https://doi.org/10.3989/redc.2024.3.1571

Keywords:

Institutional affiliation, scientific collaboration, author-level metrics, article-level metrics, place-level metrics, geographical information, spatial bibliometrics, Scientometrics

Abstract


Scientometrics has traditionally examined place in terms of author affiliations and, as such, has tended to overlook the more detailed use of geographical data in scholarly publications to design indicators of the scientific literature. This study constructs a comprehensive framework to formalize and unify the Scientometrics analysis of places (Spatial Framework to identify Bibliographic Relationships or SFBR), constituting three main stages: identification, description, and measurement. We present five descriptive dimensions and a set of 57 core metrics for scrutinizing the place-related features of science. These metrics encompass author-, publication-, and place-level parameters, categorized according to the specific section (zone) containing the geographical information (i.e., citing author affiliation, the body of the text, and cited author affiliation). The SFBR serves as an innovative tool for unraveling the significance and influence of place in scientific literature. By considering place a fundamental element in Scientometrics studies, it extends the boundaries of spatial bibliometrics and provides a more holistic understanding of place as research object.

Downloads

Download data is not yet available.

References

Aabeyir, R. (2023). Geoinformation or misinformation? A review of the geographic description of study areas in published academic articles. African Geographical Review, 1-20. https://doi.org/10.1080/19376812.2023.2230199

Acheson, E., and Purves, R.S. (2021). Extracting and modeling geographic information from scientific articles. PloS one, 16(1), e0244918. https://doi.org/10.1371/journal.pone.0244918 PMid:33406109 PMCid:PMC7787447

Agnew, J.A. (1987). Place and politics: the geographical mediation of State and Society. Routledge.

Arias, Romina R., and González, Claudia M. (2021). Investigación sobre el Gran La Plata. Caracterización de la producción y estudio de la cobertura y solapamiento en fuentes bibliográficas referenciales. Actas de las 6tas Jornadas de intercambio y reflexión acerca de la investigación en Bibliotecología, 1-17. Universidad Nacional de La Plata. Available from: https://www.memoria.fahce.unlp.edu.ar/trab_eventos/ev.14267/ev.14267.pdf.

Batty, M. (2003). The geography of scientific citation. Environment and Planning A, 35(5), 761-765. https://doi.org/10.1068/a3505com

Belenzon. S., and Schankerman, M. (2013). Spreading the Word: Geography, Policy, and Knowledge Spillovers. The Review of Economics and Statistics, 95(3), 884-903. https://doi.org/10.1162/REST_a_00334

Bensalem, I., and Kholladi M.K. (2010) Toponym disambiguation by arborescent relationships. Journal of Computer Science, 6 (6), 653-659. https://doi.org/10.3844/jcssp.2010.653.659

Borner, K. (2010). Atlas of science: Visualizing what we know. MIT Press.

Bornmann, L., and Waltman, L. (2011). The detection of "hot regions" in the geography of science-A visualization approach by using density maps. Journal of Informetrics, 5(4), 547-553. https://doi.org/10.1016/j.joi.2011.04.006

Bornmann, L., and De Moya-Anegón, F. (2019). Spatial bibliometrics on the city level. Journal of Information Science, 45(3), 416-425. https://doi.org/10.1177/0165551518806119

Bornmann, L., Leydesdorff, L., Walch-Solimena, C., and Ettl, C. (2011). Mapping excellence in the geography of science: An approach based on Scopus data. Journal of Informetrics, 5(4), 537-546. https://doi.org/10.1016/j.joi.2011.05.005

Carvalho, R., and Batty, M. (2006). The geography of scientific productivity: Scaling in US computer science. Journal of Statistical Mechanics: Theory and Experiment, 2006(10), P10012. https://doi.org/10.1088/1742-5468/2006/10/P10012

Cascón-Katchadourian, J., Rodríguez-Domínguez, C., Carranza-García, F., Torres-Salinas, D. (2023). GeoAcademy: web platform and algorithm for automatic detection and location of geographic coordinates and toponyms in scientific articles. Revista Española de Documentación Científica, 46(4), e370. https://doi.org/10.3989/redc.2023.4.1393

Castro-Torres, A., and Alburez-Gutiérrez, D. (2022). North and South: Naming practices and the hidden dimension of global disparities in knowledge production. Proceedings of the National Academy of Sciences, 119(10). https://doi.org/10.1073/pnas.2119373119 PMid:35238625 PMCid:PMC8915996

Chinchilla-Rodríguez, Z., Miguel, S., and Moya-Anegón, F. (2015). What factors are affecting the visibility of Argentinean publications in human and social sciences in Scopus? Some evidences beyond the geographic realm of the research. Scientometrics, 102(1), 789-810. https://doi.org/10.1007/s11192-014-1414-4

Costas, R., De Rijcke, S., and Marres, N. (2021). "Heterogeneous couplings": Operationalizing network perspectives to study science‐society interactions through social media metrics. Journal of the Association for Information Science and Technology, 72(5), 595-610. https://doi.org/10.1002/asi.24427

Cresswell, T. (2014). Place: an introduction. John Wiley & Sons.

Cronin, B. (2008). On the epistemic significance of place. Journal of the American Society for Information Science and Technology, 59(6), 1002-1006. https://doi.org/10.1002/asi.20774

Cuyala, S. (2013). La diffusion de la géographie théorique et quantitative européenne francophone d'après les réseaux de communications aux colloques européens (1978-2011). Cybergeo: European Journal of Geography, 657. https://doi.org/10.4000/cybergeo.26100

Eckert, D., Baron, M., and Jégou, L. (2013). Les villes et la science: apports de la spatialisation des données bibliométriques mondiales. M@ ppemonde, 110 (2013), 1-24. Available from: http://mappemonde-archive.mgm.fr/num38/articles/art13201.html.

Frenken K., Hardeman S., and Hoekman, J. (2009). Spatial scientometrics: Towards a cumulative research program. Journal of Informetrics, 3(3), 222-232. https://doi.org/10.1016/j.joi.2009.03.005

Gaillard, J. (1991). Scientists in the third world. University Press of Kentucky.

Gazni, A., Sugimoto, C.R., and Didegah, F. (2012). Mapping world scientific collaboration: Authors, institutions, and countries. Journal of the American Society for Information Science and Technology, 63(2), 323-335. https://doi.org/10.1002/asi.21688

González, C., Archuby, G., and Miguel, S. (2019). La recuperación de información por delimitadores geográficos y su aplicación en estudios Bibliométricos sobre ciencia local. In Sandra Miguel (coord.). Workshop Iberoamericano de estudios métricos de la actividad científica orientada a temas locales/regionals, 47-54. Universidad Nacional de La Plata. Available from: https://www.memoria.fahce.unlp.edu.ar/libros/pm.711/pm.711.pdf.

Grassano, N., Rotolo, D., Hutton, J., Lang, F., and Hopkins, M. M. (2017). Funding data from publication acknowledgments: Coverage, uses, and limitations. Journal of the Association for Information Science and Technology, 68(4), 999-1017. https://doi.org/10.1002/asi.23737

Gritta, M., Pilehvar, M. T., Limsopatham, N., and Collier, N. (2018). What's missing in geographical parsing? Language Resources and Evaluation, 52(2), 603-623. https://doi.org/10.1007/s10579-017-9385-8 PMid:31258456 PMCid:PMC6560650

Grossetti, M. (1995). Science, industrie et territoire. Presses universitaires du Mirail. https://doi.org/10.4000/books.pumi.13572

Grossetti, M., Eckert, D., Maisonobe, M., and Tallec, J. (2016). Four commonly held beliefs about geography of scientific activities. In Shearmur, R., Carrincazeaux, C., and Doloreux, D. (Ed.), Handbook on the Geographies of Innovation, 223-240. Edward Elgar. https://doi.org/10.4337/9781784710774.00026

Grossetti, M., Milard, B., and Losego, P. (2007). La territorialisation des activités scientifiques dans le sud-ouest européen (France, Espagne, Portugal). Géographie Economie Société, 4(2), 427-442. https://doi.org/10.1016/S1295-926X(02)00047-3

Halevi, G., Rogers, G., Guerrero-Bote, V.P. and De-Moya-Anegón, F. (2023). Multi-affiliation: a growing problem of scientific integrity. Profesional de la información, 32(4). https://doi.org/10.3145/epi.2023.jul.01

Hoekman, J., Frenken, K., and Van Oort, F. (2009). The geography of collaborative knowledge production in Europe. The Annals of Regional Science, 43, 721-738. https://doi.org/10.1007/s00168-008-0252-9

Karl, J.W., Herrick, J.E., Unnasch, R.S., Gillan, J.K., Ellis, E.C., Lutters, W.G., and Martin, L.J. (2013). Discovering Ecologically Relevant Knowledge from Published Studies through Geosemantic Searching. BioScience, 63(8), 674-682. https://doi.org/10.1525/bio.2013.63.8.10

Karl, J.W. (2019). Mining location information from life-and earth-sciences studies to facilitate knowledge discovery. Journal of Librarianship and Information Science, 51(4), 1007-1021. https://doi.org/10.1177/0961000618759413

Katz, J. (1994). Geographical proximity and scientific collaboration. Scientometrics, 31(1), 31-43. https://doi.org/10.1007/BF02018100

Kmoch, A., and Uuemaa, E. (2018). Geo-referencing of journal articles and platform design for spatial query capabilities. Available from: https://zenodo.figshare.com/articles/Geo-referencing_of_journal_articles_and_platform_design_for_spatial_query_capabilities/6893945.

Kmoch, A., Uuemaa, E., Klug, H., and Cameron, S.G. (2018). Enhancing location-related hydrogeological knowledge. ISPRS International Journal of Geo-Information, 7(4), 132. https://doi.org/10.3390/ijgi7040132

Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.

Laudel, G. (2003). Studying the brain drain: Can bibliometric methods help?. Scientometrics, 57(2), 215-237. https://doi.org/10.1023/A:1024137718393

Lefebvre, H. (1991). The production of space. In Gieseking, J.J., and Mangold, W. (eds.). The people, place, and space reader. Routledge.

Leidner, J. L., and Lieberman, M.D. (2011). Detecting geographical references in the form of place names and associated spatial natural language. Sigspatial Special, 3(2), 5-11. https://doi.org/10.1145/2047296.2047298

Lentschat, M., Buche, P., Dibie-Barthelemy, J., and Roche, M. (2020). Scipure: a new representation of textual data for entity identification from scientific publications. In Proceedings of the 10th international conference on web intelligence, mining and semantics, 220-226. ACM. https://doi.org/10.1145/3405962.3405978

Leveling, J. (2015). Tagging of Temporal Expressions and Geological Features in Scientific Articles. In Proceedings of the 9th Workshop on Geographic Information Retrieval, 1-10. ACM. https://doi.org/10.1145/2837689.2837701

Leydesdorff L., and Persson, O. (2010). Mapping the geography of science: distribution patterns and networks of relations among cities and institutes. Journal of the American Society for Information Science and Technology, 61(8), 1622-1634. https://doi.org/10.1002/asi.21347

Longley, P., Goodchild, Michael, F., Maguire, D.J., and Rhind, D.W. (2005). Geographic information systems and science. Wiley.

Maisonobe, M. (2013). Diffusion et structuration spatiale d'une question de recherche en biologie moléculaire. Mappemonde, 110(2), 1-17. Available from http://mappemonde.mgm.fr/num38/articles/art13202.html.

Martin, L.J., Blossey, B., and Ellis, E. (2012). Mapping where ecologists work: biases in the global distribution of terrestrial ecological observations. Frontiers in Ecology and the Environment, 10(4), 195-201. https://doi.org/10.1890/110154

Miguel, S., González, C., and Chinchilla-Rodríguez, Z. (2015). Lo local y lo global en la producción científica argentina con visibilidad en Scopus, 2008-2012. Dimensiones nacionales e internacionales de la investigación. Información, Cultura y Sociedad, (32), 59-78. Available from: http://revistascientificas.filo.uba.ar/index.php/ICS/article/view/1375/1352.

Miguel, S., González, C. and Chinchilla-Rodríguez, Z. (2023a). National and international dimensions of research: topics of local and global interest in scientific production. In 19th International Conference on Scientometrics & Informetrics.

Miguel, S., González, C.M. and Chinchilla-Rodríguez, Z. (2024) Towards a new approach to analyzing the geographical scope of national research. An exploratory analysis at the country level. Scientometrics, 129, 3659-3679. https://doi.org/10.1007/s11192-024-05045-9

Page, R.D.M. (2010). Enhanced display of scientific articles using extended metadata. Web Semantics: Science, Services and Agents on the World Wide Web, 8(2), 190-195. https://doi.org/10.1016/j.websem.2010.03.004

Pan, R.K., Kaski, K., and Fortunato, S. (2012). World citation and collaboration networks: uncovering the role of geography in science. Scientific Reports, 2(902). https://doi.org/10.1038/srep00902 PMid:23198092 PMCid:PMC3509350

Pietrucha, J. (2018). Country-specific determinants of world university rankings. Scientometrics, 114(3), 1129-1139. https://doi.org/10.1007/s11192-017-2634-1 PMid:29491546 PMCid:PMC5814474

Pillet Capdepón, F. (2004). La geografía y las distintas acepciones del espacio geográfico. Investigaciones geográficas, 34, 141-154. https://doi.org/10.14198/INGEO2004.34.07

Ponds, R., Van Oort, F., and Frenken, K. (2007). The geographical and institutional proximity of research collaboration. Papers in Regional Science, 86(3), 423-443. https://doi.org/10.1111/j.1435-5957.2007.00126.x

Robinson-Garcia, N., Sugimoto, C.R., Murray, D., Yegros-Yegros, A., Larivière, V., and Costas, R. (2019). The many faces of mobility: Using bibliometric data to measure the movement of scientists. Journal of Informetrics, 13(1), 50-63. https://doi.org/10.1016/j.joi.2018.11.002

Scott, J., Stock, K., Morgan, F., Whitehead, B., and Medyckyj-Scott, D. (2021). Automated georeferencing of Antarctic species. In Janowicz, K., and Verstegen, J. (eds.), 11th International Conference on Geographic Information Science. Schloss Dagstuhl-Leibniz-Zentrum für Informatik. Available from: https://drops.dagstuhl.de/opus/volltexte/2021/14772.

Shapin, S. (1998). Placing the view from nowhere: historical and sociological problems in the location of science. Transactions of the Institute of British Geographers, 23(1), 5-12. https://doi.org/10.1111/j.0020-2754.1998.00005.x

Small, H., and Garfield, E. (1985). The geography of science: Disciplinary and national mappings. Journal of Information Science, 11(4), 147-159. https://doi.org/10.1177/016555158501100402

Sterlacchini, A. (2008). R&D, higher education and regional growth: uneven linkages among European regions. Research Policy, 37(6-7), 1096-110. https://doi.org/10.1016/j.respol.2008.04.009

Sui, D., and Goodchild, M. (2011). The convergence of GIS and social media: challenges for GIScience. International Journal of Geographical Information Science, 25(11), 1737-1748. https://doi.org/10.1080/13658816.2011.604636

Tamames, J., and De Lorenzo, V. (2010). EnvMine: A text-mining system for the automatic extraction of contextual information. BMC bioinformatics, 11(1), 1-10. https://doi.org/10.1186/1471-2105-11-294 PMid:20515448 PMCid:PMC2901371

Taşkın, Z., and Al, U. (2014). Standardization problem of author affiliations in citation indexes. Scientometrics, 98(1), 347-368. https://doi.org/10.1007/s11192-013-1004-x

Tijssen, R.J., Mouton, J., Van Leeuwen, T.N., and Boshoff, N. (2006). How relevant are local scholarly journals in global science? A case study of South Africa. Research Evaluation, 15(3), 163-174. https://doi.org/10.3152/147154406781775904

Van Dijk, J., and Maier, G. (2006). ERSA Conference participation: does location matter?. Papers in Regional Science, 85(4), 483-504. https://doi.org/10.1111/j.1435-5957.2006.00102.x

Van Noorden, R. (2010). Cities: building the best cities for science. Nature, 467(7318), 906-908. https://doi.org/10.1038/467906a PMid:20962821

Weissenbacher, D., Magge A., O'Connor, K., Scotch, M., and Gonzalez, G. (2019). SemEval-2019 Task 12: Toponym Resolution in Scientific Papers. In Proceedings of the 13th International Workshop on Semantic Evaluation, 907-916. Association for Computational Linguistics. Available from: https://www.aclweb.org/anthology/papers/S/S19/S19-2155. https://doi.org/10.18653/v1/S19-2155

Weissenbacher, D., Sarker, A., Tahsin, T., Scotch, M., and Gonzalez, G. (2017). Extracting geographic locations from the literature for virus phylogeography using supervised and distant supervision methods. AMIA Summits on Translational Science Proceedings, 114-122. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543364/.

WeissenbacherD., Tahsin, T., Beard, R., Figaro, M., Rivera, R., Scotch, M., and Gonzalez, G. (2015). Knowledge-driven geospatial location resolution for phylogeographic models of virus migration. Bioinformatics, 31(12), 348-356. https://doi.org/10.1093/bioinformatics/btv259 PMid:26072502 PMCid:PMC4542781

Wuestman, M.L., Hoekman, J., and Frenken, K. (2019). The geography of scientific citations. Research Policy, 48(7), 1771-1780. https://doi.org/10.1016/j.respol.2019.04.004

Xuemei, W., Mingguo, M., Xin, L. and Zhiqiang, Z. (2014). Applications and researches of geographic information system technologies in bibliometrics. Earth Science Information 7(3), 147-152. https://doi.org/10.1007/s12145-013-0132-4

Zhou, P., and Leydesdorff, L. (2006). The emergence of China as a leading nation in science. Research Policy, 35(1), 83-104. https://doi.org/10.1016/j.respol.2005.08.006

Published

2024-10-16

How to Cite

Orduña-Malea, E., Miguel, S. ., González, C. M., Arias, R. R., & Ortiz-Jaureguizar, E. . (2024). An analytical framework for the study of geographical places in the scientific literature. Revista Española De Documentación Científica, 47(3), e396. https://doi.org/10.3989/redc.2024.3.1571

Issue

Section

Studies

Most read articles by the same author(s)

1 2 > >>